DEVELOPMENT... OpenML
Run
46279

Run 46279

Task 4368 (Supervised Classification) cholesterol Uploaded 31-10-2014 by Felicia West
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Flow

weka.Bagging_LMT(2)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_LMT(2)_I160
weka.Bagging_LMT(2)_P100
weka.Bagging_LMT(2)_S1
weka.Bagging_LMT(2)_Wweka.classifiers.trees.LMT
weka.Bagging_LMT(2)_num-slots1
weka.LMT(2)_I-1
weka.LMT(2)_M15
weka.LMT(2)_W0.0

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

model
Model readable

A human-readable description of the model that was built.

model
Model serialized

A serialized description of the model that can be read by the tool that generated it.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

21 Evaluation measures

Area under ROC curve
0.5682
Per class
Build CPU time
28.3262
Build memory
149726856.9558
F measure
0.5574
Per class
Kappa
0.1047
KB relative information score
148.5822
Mean absolute error
0.474
Mean prior absolute error
0.4955
Number of instances
3030
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.5568
Per class
Predictive accuracy
0.5597
Prior entropy
0.9935
Recall
0.5597
Per class
Relative absolute error
0.9566
Root mean prior squared error
0.4977
Root mean squared error
0.5144
Root relative squared error
1.0336
SciMark benchmark
931.9798